• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.183-192
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• 2020

This study conducted an exploratory study to derive the success factors of entrepreneurial marketing for startups. Through Delphi analysis, we derived the items of proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity, value creation, price setting, marketing communication, channel management, product development, sales and marketing information management. The importance and execution of success factors were measured through IPA analysis. The first quadrant(keep up the good work) has proactive orientation, risk management, resource leveraging, customer intensity. The second quadrant(concentrate here) has innovation. The third quadrant(low priority) has channel management, sales, marketing information management. The fourth quadrant(possible overkill) has prices setting, product development. These results showed that the success factors of startup's entrepreneurial marketing were proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity and value creation.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.22-31
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• 2018

Due to the inherent risk factors of the remodeling projects, the remodeling project is failing frequently, and schedule delay are occurring in most remodeling projects. The risk factors that cause the delays in these remodeling projects are not common to all remodeling projects, and the likelihood of risk factors will be affected by the various characteristics of the project. In this context, based on the results of a reliable survey conducted on 29 construction managers who have performed remodeling projects, this research analyzes (1) "importance of each characteristic", which means how frequently the characteristics of the remodeling project affect the occurrence of risk factors, (2) "the likelihood of delay risk factors for remodeling projects", which assesses which risk factors are most likely to occur, and 3) "the level of effect of project characteristics that affects the occurrence of each risk factor." Through this study, the relationship between various characteristics of the office building remodeling projects and the delay risk factors was analyzed in various aspects, in further, it is expected that the owner planning the remodeling will be able to grasp the delay risk that is likely to occur according to the characteristics of the project in advance.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.153-164
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• 2016

The purpose of this article was to examine the influence of physical environment on customer's buying-risk perception at franchise Korean restaurants. In this research factor analysis and multi regression analysis were used. Physical environment were divided to 3 factors and risk perception to 5 factors. Internal environment affected negatively financial risk (p<0.001), time risk (p<0.001) and psychological risk (p<0.001). External environment had negative influence on time risk (p<0.05) and psychological risk (p<0.05). And the other environment negatively affected financial risk (p<0.001), time risk (p<0.001) and psychological risk (p<0.05). According to these results, we confirmed that various physical environments influenced on the risk perception of customers. As a result, food service corporations need to deal with physical environment efficiently. And the findings of this research would help their business management to build effective service marketing strategies and to satisfy the needs of customers at franchise Korean restaurants.

• IE interfaces
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• v.20 no.1
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• pp.11-20
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• 2007

This case study aims to embody the requirement of the make-to-order type manufacturer who wants to manage risks effectively when decisions are required to be taken under a risk. First, we present a method for choosing the risk factors that should be controlled for the make-to-order type manufacturer. Subsequently, those factors have been verified using statistical methods such as the ANOVA test. The process flows to be operated with the selected risk factors and the rules for an early warning system have been proposed. For a couple of factors, a prototype system has been developed to illustrate actual applications. Applications of the technique developed here for other types of manufacturers might be an interesting research problem.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.4
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• pp.519-526
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• 2019

Objective: We determined the risk factors limiting first service conception (FSC) rate in dairy cows and their economic impact. Methods: Data were collected from 790 lactations regarding cow parity, peri- and postpartum disorders, body condition score (BCS), reproductive performance, and expenses associated with reproductive management (treatment, culling, and others). Initially, we identified the risk factors limiting FSC rate in dairy cows. Various biological and environmental factors, such as herd, cow parity, BCS at 1 month postpartum and first artificial insemination (AI), resumption of cyclicity within 1 month of calving, year, AI season, insemination at detected estrus or timed AI, peri- and postpartum disorders, and calving to first AI interval, were evaluated. Next, we evaluated the economic impact of the success or failure of FSC by comparing the expense associated with reproductive management until conception between cows that did or did not conceive at their first service. Results: Cows with BCS <3.0 had a lower probability of conceiving at first insemination (odds ratio [OR] = 0.64, p<0.05) than cows with $BCS{\geq}3.0$. Cows inseminated during summer were less likely to conceive (OR = 0.44, p<0.001) than cows inseminated during spring. Cows with peri- or postpartum disorders were less likely to conceive (OR = 0.55, p<0.001) than cows without disorders. Survival curves generated using MedCalc showed an 81 day extension in the mean interval between calving and conception in cows that failed to conceive over those that did conceive at first insemination. Cows failing conceive required additional expenditure on reproductive treatment ($55.40) and other management ($567.00) than cows that conceived at first insemination. Conclusion: Lower BCS, hot weather at first insemination, and peri- and postpartum disorders are risk factors limiting FSC, which result in an economic loss of $622.40 per dairy cow.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.487-490
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• 2008

The mixed-use development project like urban regeneration project has been enforced with long period and participation of various stakeholders. For this character, lots of risk could be occurred during the process of project and the project's success or failure depends on the risk management. So the process of identifying and responding to risks in urban regeneration projects should be followed systemically The risk identification phase is the first step to identify risk factors and define risk's character. One of the risk identification methods, the checklist, is the most practical and well-known one. This study suggests the check list that devide risks classified by stakeholders through analyzing tasks of stakeholders and drawing risks. This kind of checklist which handles risk factors classified by stakeholders is an easy tool to identify risks and expected to be effective to find risks for various stakeholders and themselves in the urban regeneration projects.

• Korean Journal of Construction Engineering and Management
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• v.13 no.2
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• pp.70-79
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• 2012

The Korean Government recently has been focused on strengthening competitiveness of order and stimulating construction market in the international construction industry. It has planned to extend the ODPs (overseas development projects) in order to diversifying the international construction market of which is domestic construction companies, placing too much emphasis on plant projects of the Middle East. However, literature review of risk analysis in the ODPs shows that the number of case study is several. Therefore, Authors asserted the necessity of risk analysis in the ODPs. The purpose of this study is to suggest a methodology that find KRFs (key risk factors) in the ODPs and analyze them, using AHP and Fuzzy theory. As a result, the 37 KRFs are selected and explained characteristics of them. A future direction of this study is to suggest a risk management model in the ODPs and prove feasibility of it.

• Journal of Korean society of Dental Hygiene
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• v.24 no.4
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• pp.281-289
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• 2024

Objectives: This study aimed to evaluate the effectiveness of the CAMBRA-students application by assessing the changes in dental caries risk factors and management effectiveness in elementary and middle school students. Methods: This study was conducted between July 2023 and May 2024 and included 113 participants (55 experimental and 58 control participants). Participants used the CAMBRA-students application to enter the protective and risk factors. Clinicians recorded the disease indicators and classified the participants into risk groups. Only the experimental group received the tailored dental caries management program, with feedback provided via the applicationat each intervention stage. Results: The pre- and post-intervention assessments revealed an increase in the high-risk group and a decrease in the extremehigh-risk group. Conversely, the control group exhibited a decrease in the high-risk group and an increase in the extreme high-risk group. The DMFT index and rateand salivary flow rate increased in both groups. The Simple Hygiene Score and ΔR decreased and increased in the experimental and control groups, respectively, with no statistically significant differences. Conclusions: The CAMBRA-students application effectively prevented dental caries in children and adolescents. The future development of personalized oral care programs tailored to different life stages is recommended.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.187-193
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• 2020

This study analyzed how risk factors in management affect the management of working capital in general hospitals in Korea. The data used accounting information for three years (2016~2017 and 2018) of 271 general hospitals using the medical institution accounting information disclosure system. The independent variables were the working capital level and the cash conversion cycle, The dependent variables were operational risk and market risk, Control variables were selected as components of working capital(cash, accounts receivable, inventory assets, accounts payable). According to the study, the lower the operational risk, the higher the level of working capital hospitals in Korea. Working capital decisions were confirmed to be attributable to operating risks, cash, inventory assets and accounts payable. And the lower the market risk (Operating Margin), the higher the cash conversion cycle. Therefore, it is necessary to review appropriate management measures of operational risks, cash, inventory assets and accounts payable identified as operating capital determinants so that medical institutions can also have economic response capabilities in consideration of the specificity of their operations.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.2945-2950
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• 2014

Background: This study compared risk factors for depression and suicidal ideas among cancer patients for comparison with the general population, and identified influencing factors. Materials and Methods: We analyzed data from 2,472 cancer patients in the National Cancer Center and nine Regional Cancer Centers and frequency-matched data for age and sex from 2,349 members of the general population who completed the National Health and Nutrition Examination Survey in 2008. Logistic regression analysis was used to identify factors affecting depression and suicidal ideas. Results: Cancer patients were not likely to have more depression (OR=0.96, 95%CI=0.79-1.18) and were less likely to have suicidal ideas (OR=0.64, 95%CI=0.53-0.79) compared to the general population. Female sex, more stress, and lower quality of life were influencing factors. The additional risk factors for suicidal ideas among cancer patients included income (OR=0.62, 95%CI=0.43-0.91), smoking (OR=1.63, 95% CI=1.06-2.50), recurrence (OR=1.50, 95%CI=1.15-1.95), and chemotherapy (OR=1.66, 95%CI=1.26-2.19). Conclusions: No differences appeared in depression rates between cancer patients and the general population, and cancer patients were less likely to have suicidal ideas. However, cancer patients were likely to have more risk factors than the general population, and those classified as being at high risk of suicide should receive distress management and social economic support, from early in the treatment process.